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#' Plot of the time series of daily flux estimates and the sample values for the days that were sampled
#'
#' @description
#' This plot is useful for visual examination of the ability of the WRTDS, or other model, to fit the
#' data, as seen in a time-series perspective.
#'
#' Although there are a lot of optional arguments to this function, most are set to a logical default.
#'
#' Data come from named list, which contains a Sample dataframe with the sample data,
#' a Daily dataframe with the daily flow data,
#' and an INFO dataframe with metadata.
#'
#' @param eList named list with at least the Daily, Sample, and INFO dataframes
#' @param yearStart numeric specifying the starting date (expressed as decimal years, for example 1989.0) for the plot
#' @param yearEnd numeric specifying the ending date for the plot
#' @param tinyPlot logical variable, if TRUE plot is designed to be short and wide, default is FALSE.
#' @param fluxUnit number representing in pre-defined fluxUnit class array. \code{\link{printFluxUnitCheatSheet}}
#' @param fluxMax number specifying the maximum value to be used on the vertical axis, default is NA (which allows it to be set automatically by the data)
#' @param plotGenFlux logical variable. If \code{TRUE}, annual flux points from
#' \code{WRTDSKalman} output are plotted, if \code{FALSE} WRTDS flux is plotted.
#' @param printTitle logical variable if TRUE title is printed, if FALSE title is not printed (this is best for a multi-plot figure)
#' @param cex numerical value giving the amount by which plotting symbols should be magnified
#' @param cex.main magnification to be used for main titles relative to the current setting of cex
#' @param cex.axis magnification to be used for axis annotation relative to the current setting of cex
#' @param customPar logical defaults to FALSE. If TRUE, par() should be set by user before calling this function
#' (for example, adjusting margins with par(mar=c(5,5,5,5))). If customPar FALSE, EGRET chooses the best margins depending on tinyPlot.
#' @param col color of points on plot, see ?par 'Color Specification'
#' @param lwd number line width
#' @param randomCensored logical, if TRUE plot a random value for censored data. Default is FALSE.
#' @param usgsStyle logical option to use USGS style guidelines. Setting this option
#' to TRUE does NOT guarantee USGS compliance. It will only change automatically
#' generated labels.
#' @param prettyDate logical use 'pretty' limits for date axis if TRUE, or force the yearStart/yearEnd as limits if FALSE
#' @param \dots arbitrary graphical parameters that will be passed to genericEGRETDotPlot function (see ?par for options)
#' @keywords graphics water-quality statistics
#' @export
#' @seealso \code{\link{selectDays}}, \code{\link{genericEGRETDotPlot}}
#' @examples
#' eList <- Choptank_eList
#' # Water year:
#' plotFluxTimeDaily(eList)
#' plotFluxTimeDaily(eList, 2001,2009)
plotFluxTimeDaily <- function (eList, yearStart=NA, yearEnd=NA,
tinyPlot = FALSE, fluxUnit = 3,
fluxMax = NA, randomCensored=FALSE,
printTitle = TRUE,
plotGenFlux = TRUE,
usgsStyle = FALSE, cex = 0.8, cex.axis = 1.1, cex.main = 1.1,
customPar = FALSE,col = "black",lwd = 1, prettyDate = TRUE,...) {
localINFO <- getInfo(eList)
localDaily <- getDaily(eList)
localSample <- getSample(eList)
if(sum(c("paStart","paLong") %in% names(localINFO)) == 2){
paLong <- localINFO$paLong
paStart <- localINFO$paStart
} else {
paLong <- 12
paStart <- 10
}
if(plotGenFlux){
if(!all((c("GenFlux","GenConc") %in% names(eList$Daily)))){
message("plotGenFlux = TRUE requires running WRTDSKalman
on eList. Switching to WRTDS concentration.")
plotGenFlux <- FALSE
}
}
possibleGoodUnits <- c("mg/l","mg/l as N", "mg/l as NO2",
"mg/l as NO3","mg/l as P","mg/l as PO3","mg/l as PO4","mg/l as CaCO3",
"mg/l as Na","mg/l as H","mg/l as S","mg/l NH4" )
allCaps <- toupper(possibleGoodUnits)
localUnits <- toupper(localINFO$param.units)
if(!(localUnits %in% allCaps)){
warning("Expected concentration units are mg/l, \nThe INFO dataframe indicates:",localINFO$param.units,
"\nFlux calculations will be wrong if units are not consistent")
}
localSample <- if(paLong == 12) localSample else selectDays(localSample,paLong,paStart)
localDaily <- if(paLong == 12) localDaily else selectDays(localDaily,paLong,paStart)
title2<-if(paLong==12) "" else setSeasonLabelByUser(paStartInput=paStart,paLongInput=paLong)
################################################################################
# I plan to make this a method, so we don't have to repeat it in every funciton:
if (is.numeric(fluxUnit)){
fluxUnit <- fluxConst[shortCode=fluxUnit][[1]]
} else if (is.character(fluxUnit)){
fluxUnit <- fluxConst[fluxUnit][[1]]
}
################################################################################
fluxFactor <- fluxUnit@unitFactor*86.40
yearStart <- if (is.na(yearStart)) as.integer(min(localSample$DecYear,na.rm=TRUE)) else yearStart
yearEnd <- if (is.na(yearEnd)) as.integer(max(localSample$DecYear,na.rm=TRUE)) else yearEnd
subSample <- localSample[localSample$DecYear >= yearStart & localSample$DecYear <= yearEnd,]
subDaily <- localDaily[localDaily$DecYear >= yearStart & localDaily$DecYear <= yearEnd,]
xSample <- subSample$DecYear
xDaily <- subDaily$DecYear
if(plotGenFlux){
flux <- subDaily$GenFlux
} else {
flux <- subDaily$ConcDay*subDaily$Q*fluxFactor
}
yLow <- subSample$ConcLow*subSample$Q*fluxFactor
yHigh <- subSample$ConcHigh*subSample$Q*fluxFactor
Uncen <- subSample$Uncen
plotTitle <- if (printTitle) {
paste(localINFO$shortName, "\n", localINFO$paramShortName,
"\n", "Observed and Estimated Flux versus Time")
} else {
""
}
if (tinyPlot) {
yLab <- fluxUnit@unitExpressTiny
} else {
yLab <- ifelse(usgsStyle, fluxUnit@unitUSGS, fluxUnit@unitExpress)
}
###################################
yBottom <- 0
xInfo <- generalAxis(x = xSample,
minVal = yearStart, maxVal = yearEnd,
tinyPlot = tinyPlot, padPercent = 0,
prettyDate = prettyDate)
yCombined <- c(yHigh, flux)
if(!randomCensored){
yInfo <- generalAxis(x = yCombined,
minVal = yBottom,
maxVal = fluxMax,
tinyPlot = tinyPlot,
padPercent = 5)
genericEGRETDotPlot(x = xSample, y = yHigh,
xlim = c(xInfo$bottom, xInfo$top),
ylim = c(yInfo$bottom, yInfo$top),
xTicks = xInfo$ticks,
yTicks = yInfo$ticks,
ylab = yLab,
customPar = customPar, cex = cex,
plotTitle = plotTitle,
tinyPlot = tinyPlot,cex.axis=cex.axis,
cex.main = cex.main,
col = col, lwd = lwd, xDate = TRUE,...
)
censoredSegments(yBottom = yInfo$bottom,
yLow = yLow,
yHigh = yHigh,
x = xSample,
Uncen = Uncen,
col = col,
lwd = lwd)
} else {
if(!("rObserved" %in% names(localSample))){
eList <- makeAugmentedSample(eList)
localSample <- eList$Sample
subSample<-localSample[localSample$DecYear >= yearStart &
localSample$DecYear <= yearEnd,]
}
yCombined <- c(flux, subDaily$rObserved*subDaily$Q*fluxFactor)
yInfo <- generalAxis(x = yCombined,
minVal = yBottom,
maxVal = fluxMax,
tinyPlot = tinyPlot,
padPercent = 5)
genericEGRETDotPlot(x = xSample, y = yHigh,
xlim = c(xInfo$bottom, xInfo$top), ylim = c(yInfo$bottom, yInfo$top),
xTicks = xInfo$ticks, yTicks = yInfo$ticks,
ylab = yLab, customPar = customPar,cex = cex,
plotTitle = plotTitle, tinyPlot = tinyPlot,cex.axis=cex.axis,
cex.main = cex.main, col = col,lwd = lwd, xDate=TRUE,...
)
points(x = xSample[Uncen == 0],
y = yHigh[Uncen == 0],
pch = 1, cex = cex, col = col)
}
lines(xDaily, flux, col = col, lwd = lwd)
if (!tinyPlot) mtext(title2,side=3,line=-1.5)
}
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